Parr, Gerard and Ahmad, Arsalan and Muhammad, Hamayun Mian and Ur Rahman, Anis and Malik, Asad Waqar and Qadeer, Arslan (2019) Virtual Infrastructure Orchestration For Cloud Service Deployment. The Computer Journal, 63 (2). pp. 295-307. ISSN 0010-4620, DOI https://doi.org/10.1093/comjnl/bxz125.
Full text not available from this repository.Abstract
Cloud adoption has significantly increased using the infrastructure-as-a-service (IaaS) paradigm, in order to meet the growing demands of computing, storage and networking, in small as well as large enterprises. Different vendors provide their customized solutions for OpenStack deployment on bare metal or virtual infrastructure. Among these many available IaaS solutions, OpenStack stands out as being an agile and open-source platform. However, its deployment procedure is a time-taking and complex process with a learning curve. This paper addresses the lack of basic infrastructure automation in almost all of the OpenStack deployment projects. We propose a flexible framework to automate the process of infrastructure bring up for deployment of several OpenStack distributions, as well as resolving dependencies for a successful deployment. Our experimental results demonstrate the effectiveness of the proposed framework in terms of automation status and deployment time, that is, reducing the time spent in preparing a basic virtual infrastructure by four times, on average. © 2019 The British Computer Society 2019. All rights reserved. For permissions, please email: journals.permissions@oup.com.
| Item Type: | Article |
|---|---|
| Funders: | UNSPECIFIED |
| Uncontrolled Keywords: | cloud computing; cloud deployment; OpenStack; orchestration; virtual infrastructure |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 17 Aug 2020 03:56 |
| Last Modified: | 17 Aug 2020 03:56 |
| URI: | http://eprints.um.edu.my/id/eprint/25379 |
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